Pillars of AI Engineering Assets
• Collection
Publisher
Software Engineering Institute
Topic or Tag
Abstract
This collection features white papers that discuss the three fundamental pillars of AI Engineering:
- Human-Centered AI
- Scalable AI
- Robust and Secure AI
Collection Items
Human-Centered AI
• White Paper
By Hollen Barmer, Rachel Dzombak, Matt Gaston, Jay Palat, Frank Redner, Carol J. Smith, Tanisha Smith
This white paper discusses Human-Centered AI: systems that are designed to work with, and for, people.
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Scalable AI
• White Paper
By Hollen Barmer, Rachel Dzombak, Matt Gaston, Jay Palat, Frank Redner, Tanisha Smith, John Wohlbier
This white paper discusses Scalable AI: the ability of AI algorithms, data, models, and infrastructure to operate at the size, speed, and complexity required for the mission.
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Robust and Secure AI
• White Paper
By Hollen Barmer, Rachel Dzombak, Matt Gaston, Eric Heim, Jay Palat, Frank Redner, Tanisha Smith, Nathan M. VanHoudnos
This white paper discusses Robust and Secure AI systems: AI systems that reliably operate at expected levels of performance, even when faced with uncertainty and in the presence of danger …
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